code: def test_smoke(
      self,
      batch_size,
      kernel_size,
      sigma,
      hysteresis,
      low_threshold,
      high_threshold,
      device,
      dtype,
  ):
      inp = torch.zeros(batch_size, 3, 4, 4, device=device, dtype=dtype)
  
      op = Canny(
          low_threshold, high_threshold, kernel_size, sigma, hysteresis
      )
      actual = op(inp)
      assert len(actual) == 2
      assert actual[0].shape == (batch_size, 1, 4, 4)
      assert actual[1].shape == (batch_size, 1, 4, 4)
  
file_path: kornia/test/filters/test_canny.py
imports: import pytest
  import torch
  from kornia.filters import Canny, canny
  from kornia.testing import BaseTester, tensor_to_gradcheck_var
  from kornia.utils._compat import torch_version
label_desc: Use image node_id 1 for calling the TestCanny obj's underlying member method code with example usage: obj.test_smoke(batch_size, kernel_size, sigma, hysteresis, low_threshold, high_threshold, device, dtype) without return types